Fraud AI/ML Scientist - Anomaly Detection & NLP (AWS)

Guidehouse; Oregon; Hybrid; USD 80,000 - 133,000; Full time

Benefits offered by this job

Medical Insurance

Dental & Vision Insurance

401(k) Retirement Plan

Paid Holidays

Parental Leave

Tuition Reimbursement

Employee Assistance Program

Job summary

Guidehouse seeks a data science leader to translate business needs into scalable AI/ML solutions. You will design models for search, anomaly detection, and fraud across structured and unstructured data, using NLP, semantic search, and graph analytics.

You will work with AWS-native services to deploy in a data lakehouse, develop evaluation and explainability frameworks, and partner with investigators and stakeholders to operationalize analytics in production environments.

Qualifications

• Bachelor's or Master's degree in data-related field as listed in requirements.
• Minimum of 4 years in data science, ML, AI, or applied analytics.
• U.S. Citizenship and ability to obtain Public Trust clearance.
• Experience with NLP, semantic search, entity resolution, anomaly/fraud detection, graph analytics.

Responsibilities

• Partner with stakeholders to define AI/ML use cases and translate business needs into scalable data science solutions.
• Design and develop ML models for search, anomaly detection, fraud detection across structured/unstructured data.
• Develop anomaly/fraud analyses using supervised, unsupervised, semi-supervised, and graph-based techniques.
• Utilize Generative AI and foundation models to enhance detection workflows and analyst support.
• Build NLP, semantic search, entity resolution, and relationship analytics for advanced information retrieval.
• Leverage OCR/ICR data, metadata, images, and free text to support analytics and fraud detection.
• Collaborate with data/cloud engineers to productionize models in AWS data lakehouse environments.
• Develop model evaluation, explainability, and monitoring to ensure transparent outputs.

Skills

NLP

Semantic search

Entity resolution

Anomaly detection

Fraud detection

Graph analytics

Python

SQL

Machine learning

Education

Bachelor's or Master's in Data Science, CS, Statistics, Math, Engineering

Tools

AWS SageMaker

Amazon Bedrock

AWS Glue

Amazon S3

OpenSearch

Apache Spark

Pandas

NumPy

Scikit-learn

Job description

Guidehouse seeks a data science leader to translate business needs into scalable AI/ML solutions. You will design models for search, anomaly detection, and fraud across structured and unstructured data, using NLP, semantic search, and graph analytics.

You will work with AWS-native services to deploy in a data lakehouse, develop evaluation and explainability frameworks, and partner with investigators and stakeholders to operationalize analytics in production environments.